• 제목/요약/키워드: Functional MRI

검색결과 428건 처리시간 0.028초

Brain Alpha Rhythm Component in fMRI and EEG

  • Jeong Jeong-Won
    • 대한의용생체공학회:의공학회지
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    • 제26권4호
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    • pp.223-230
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    • 2005
  • This paper presents a new approach to investigate spatial correlation between independent components of brain alpha activity in functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). To avoid potential problems of simultaneous fMRI and EEG acquisitions in imaging pure alpha activity, data from each modality were acquired separately under a 'three conditions' setup where one of the conditions involved closing eyes and relaxing, thus making it conducive to generation of alpha activity. The other two conditions -- eyes open in a lighted room or engaged in a mental arithmetic task, were designed to attenuate alpha activity. Using a Mixture Density Independent Component Analysis (MD-ICA) that incorporates flexible non-linearity functions into the conventional ICA framework, we could identify the spatiotemporal components of fMRI activations and EEG activities associated with the alpha rhythm. Then, the sources of the individual EEG alpha activity component were localized by a Maximum Entropy (ME) method that is specially designed to find the most probable dipole distribution minimizing the localization error in sense of LMSE. The resulting active dipoles were spatially transformed to 3D MRls of the subject and compared to fMRI alpha activity maps. A good spatial correlation was found in the spatial distribution of alpha sources derived independently from fMRI and EEG, suggesting the proposed method can localize the cortical areas responsible for generating alpha activity successfully in either fMRI or EEG. Finally a functional connectivity analysis was applied to show that alpha activity sources of both modalities were also functionally connected to each other, implying that they are involved in performing a common function: 'the generation of alpha rhythms'.

fMRI 데이터를 이용한 알츠하이머 진행상태 분류 (Alzheimer progression classification using fMRI data)

  • 노주현;양희덕
    • 스마트미디어저널
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    • 제13권4호
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    • pp.86-93
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    • 2024
  • 기능적 자기 공명영상(functional magnetic resonance imaging;fMRI)의 발전은 뇌 기능의 매핑, 휴식 상태에서 뇌 네트워크의 이해에 상당한 기여를 하였다. 본 논문은 알츠하이머의 진행상태를 분류하기 위해 CNN-LSTM 기반의 분류 모델을 제안한다. 첫 번째로 특징 추출 이전 fMRI 데이터에서 잡음을 제거하기 위해 4단계의 전처리를 수행한다. 두 번째, 전처리가 끝나면 U-Net 구조를 활용하여 공간적 특징을 추출한다. 세 번째, 추출된 공간적 특징은 LSTM을 활용하여 시간적 특징을 추출하여 최종적으로 분류하는 과정을 거친다. 실험은 데이터의 시간차원을 조절하여 진행하였다. 5-fold 교차 검증을 사용하여 평균 96.4%의 정확도를 달성하였고 이러한 결과는 제안된 방법이 fMRI 데이터를 분석하여 알츠하이머의 진행을 식별하는데 높은 잠재력을 가지고 있음을 보여준다.

b0 Dependent Neuronal Activation in the Diffusion-Based Functional MRI

  • Kim, Hyug-Gi;Jahng, Geon-Ho
    • 한국의학물리학회지:의학물리
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    • 제30권1호
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    • pp.22-31
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    • 2019
  • Purpose: To develop a new diffusion-based functional MRI (fMRI) sequence to generate apparent diffusion coefficient (ADC) maps in single excitation and evaluate the contribution of b0 signal on neuronal changes. Materials and Methods: A diffusion-based fMRI sequence was designed with single measurement that can acquire images of three directions at a time, obtaining $b=0s/mm^2$ during the first baseline condition (b0_b), followed by 107 diffusion-weighted imaging (DWI) with $b=600s/mm^2$ during the baseline and visual stimulation conditions, and another $b=0s/mm^2$ during the last activation condition (b0_a). ADC was mapped in three different ways: 1) using b0_b (ADC_b) for all time points, 2) using b0_a (ADC_a) for all time points, and 3) using b0_b and b0_a (ADC_ba) for baseline and stimulation scans, respectively. The fMRI studies were conducted on the brains of 16 young healthy volunteers using visual stimulations in a 3T MRI system. In addition, the blood oxygen level dependent (BOLD) fMRI was also acquired to compare it with diffusion-based fMRI. A sample t-test was used to investigate the voxel-wise average between the subjects. Results: The BOLD data consisted of only activated voxels. However, ADC_ba data was observed in both deactivated and activated voxels. There were no statistically significant activated or deactivated voxels for DWI, ADC_b, and ADC_a. Conclusions: With the new sequence, neuronal activations can be mapped with visual stimulation as compared to the baseline condition in several areas in the brain. We showed that ADC should be mapped using both DWI and b0 images acquired with the same conditions.

정신분열병과 기능 자기공명영상 (Functional Magnetic Resonance Imaging and Schizophrenia)

  • 정규인;이창욱
    • 생물정신의학
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    • 제11권1호
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    • pp.3-13
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    • 2004
  • Objectives:Functional magnetic resonance imaging(fMRI) is one of the most useful techniques for assessing localized changes in cerebral blood flow and oxygenation using diverse challenge paradigms. This review presents the results of fMRI studies relating to schizophrenia. Methods:Several fMRI articles on this subject in psychiatric journals were surveyed. Results:Even with some methodological limitations, most studies showed activity differences between schizophrenics and control subjects. Conclusion:fMRI extends our understanding of the pathophysiological basis of schizophrenia and offer an opportunity for the assessment and management of its pathology.

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Dynamic bivariate correlation methods comparison study in fMRI

  • Jaehee Kim
    • Communications for Statistical Applications and Methods
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    • 제31권1호
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    • pp.87-104
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    • 2024
  • Most functional magnetic resonance imaging (fMRI) studies in resting state have assumed that the functional connectivity (FC) between time series from distinct brain regions is constant. However, increased interest has recently been in quantifying possible dynamic changes in FC during fMRI experiments. FC study may provide insight into the fundamental workings of brain networks to brain activity. In this work, we focus on the specific problem of estimating the dynamic behavior of pairwise correlations between time courses extracted from two different brain regions. We compare the sliding-window techniques such as moving average (MA) and exponentially weighted moving average (EWMA), dynamic causality with vector autoregressive (VAR) model, dynamic conditional correlation (DCC) based on volatility, and the proposed alternative methods to use differencing and recursive residuals. We investigate the properties of those techniques in a series of simulation studies. We also provide an application with major depressive disorder (MDD) patient fMRI data to demonstrate studying dynamic correlations.

Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging for Language Mapping in Brain Tumor Surgery: Validation With Direct Cortical Stimulation and Cortico-Cortical Evoked Potential

  • Koung Mi Kang;Kyung Min Kim;In Seong Kim;Joo Hyun Kim;Ho Kang;So Young Ji;Yun-Sik Dho;Hyongmin Oh;Hee-Pyoung Park;Han Gil Seo;Sung-Min Kim;Seung Hong Choi;Chul-Kee Park
    • Korean Journal of Radiology
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    • 제24권6호
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    • pp.553-563
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    • 2023
  • Objective: Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging-derived tractography (DTI-t) contribute to the localization of language areas, but their accuracy remains controversial. This study aimed to investigate the diagnostic performance of preoperative fMRI and DTI-t obtained with a simultaneous multi-slice technique using intraoperative direct cortical stimulation (DCS) or corticocortical evoked potential (CCEP) as reference standards. Materials and Methods: This prospective study included 26 patients (23-74 years; male:female, 13:13) with tumors in the vicinity of Broca's area who underwent preoperative fMRI and DTI-t. A site-by-site comparison between preoperative (fMRI and DTI-t) and intraoperative language mapping (DCS or CCEP) was performed for 226 cortical sites to calculate the sensitivity and specificity of fMRI and DTI-t for mapping Broca's areas. For sites with positive signals on fMRI or DTI-t, the true-positive rate (TPR) was calculated based on the concordance and discordance between fMRI and DTI-t. Results: Among 226 cortical sites, DCS was performed in 100 sites and CCEP was performed in 166 sites. The specificities of fMRI and DTI-t ranged from 72.4% (63/87) to 96.8% (122/126), respectively. The sensitivities of fMRI (except for verb generation) and DTI-t were 69.2% (9/13) to 92.3% (12/13) with DCS as the reference standard, and 40.0% (16/40) or lower with CCEP as the reference standard. For sites with preoperative fMRI or DTI-t positivity (n = 82), the TPR was high when fMRI and DTI-t were concordant (81.2% and 100% using DCS and CCEP, respectively, as the reference standards) and low when fMRI and DTI-t were discordant (≤ 24.2%). Conclusion: fMRI and DTI-t are sensitive and specific for mapping Broca's area compared with DCS and specific but insensitive compared with CCEP. A site with a positive signal on both fMRI and DTI-t represents a high probability of being an essential language area.

추간판의 퇴행성 변화와 생활기능의 관련성 분석 (Analysis of the Degenerative Disc Change and Its Relationship to Living Function)

  • 신정섭;윤세원
    • The Journal of Korean Physical Therapy
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    • 제18권6호
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    • pp.43-49
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    • 2006
  • Purpose: Changes of degenerative disc have been analyzed or with the Magnetic Resonance Imaging (MRI) to assign appropriate meaning, and the relationship between the degenerative changes of the discs and its living function has been evaluated through the living function evaluation scores collected by functional rating index. Methods: in April, 2006, a physical examination was conducted for physical laborers to be employed as on-site laborer in a steel industrial complex located at a region. A month later, these 20 laborers who participated in lumbar vertebra MRI tests have been investigated for one-to-one mobile phone functional rating index test. Excluding 3 of 14 respondents whom scored 0 in functional rating index, the rest of respondents' degenerative disc grade changes shown in MRI and its relationship to living functional rating index have been performed. Results: The Dabbs method of measuring disc height resulted to show significant increase as the disc height changes from L1-2 level to L5-S1 level (p<0.01). However, there was no statistical significance with a relationship between disc height and functional rating index, and disc height average. The Magnetic Resonance Imaging analysis regard on the degree of disc degeneration and its relationship to living functional rating proved to have significant relationship (p<0.05). Conclusion: The degenerative changes monitored by Magnetic Resonance Imaging show significant relationship (p<0.05) to living function. However, this relationship could vary depend upon the characteristics of study population. So, it suggested that the future studies should be performed by considering population's age and job career.

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뇌열 1예의 기능적 자기공명영상과 경두부 자기자극 (Functional-Magnetic Resonance Imaging and Transcranial Magnetic Stimulation in a Case of Schizencephaly)

  • 변우목;한봉수;이재교;장용민
    • Investigative Magnetic Resonance Imaging
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    • 제4권1호
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    • pp.14-19
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    • 2000
  • 목적 : 뇌열환자에서 기능적 자기공명영상과 경두부 자기자극을 이용하여 뇌기능을 지도화하고자하였다. 대상 및 방법: 자기공명영상에서 우측 대뇌반구에 뇌열 소견이 있으며 좌측 편측부전마비를 보인 28세 남자환자를 대상으로 기능적 자기공명영상과 경두부 자기자극을 시행하였다. 임상적으로 좌측 손의 운동기능은 감소되어 있었고, 우측 손의 운동기능은 정상범주에 속하였다. 뇌기능적 자기공명영상은 EPI 기법을 이용하였고 운동자극은 1-2 Hz의 주기로 손가락을 아래위로 구부리게 하는 운동을 시행하였고 15초의 휴식기와 15초의 운동기를 반복하여 절편당 60 개의 영상을 획득하였다. 두부자기자극은 지름 90mm의 원형 자성자극기를 이용하여 maximal out-put의 80%로 자극하여 양측 단무지 외 전근에서 유발된 운동유발전위의 잠시와 진폭을 구하였다. 결과: 기능적 자기공명영상을 시행한 결과 정상적인 우측손의 운동자극시에 좌측 운동피질이 활성화되었고 좌측손의 운동자극시에는 좌측운동피질, 좌측 부가운동영역, 그리고 자측 전운동영역에 활성화소견이 나타났다. 두부자기자극에서는 우측 대뇌반구에서는 한군데에서도 운동유발 전위가 발생되지 않았다. 좌측 대뇌반구에서는 5군데에서 운동유발전위가 유발되었으며 모두 양측 단무지 외 전근에서 운동유발전위가 유발되었다. 양손에서 운동유발전위의 잠시 , 진폭 모양이 유사하였다. 결론: 뇌열환자의 손운동기능의 피지도화는 기능적 자기공명영상과 두부자기자극을 이용하여 성공적으로 시행할 수 있었다. 뇌열환자의 동측 운동경로는 동일한 운동피질로부터 기원한 동측피질척수로에 의한 것으로 추정된다.

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Spatial Correlations of Brain fMRI data

  • Choi Kyungmee
    • Communications for Statistical Applications and Methods
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    • 제12권1호
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    • pp.241-252
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    • 2005
  • In this study we suggest that the spatial correlation structure of the brain fMRI data be used to characterize the functional connectivity of the brain. For some concussion and recovery data, we examine how the correlation structure changes from one step to another in the data analyses, which will allow us to see the effect of each analysis to the spatial correlation or the functional connectivity of the brain. This will lead us to spot the processes which cause significant changes in the spatial correlation structure of the brain. We discuss whether or not we can decompose correlation matrices in terms of its causes of variations in the data.